3 search results - page 1 / 1 » Alternative Fuzzy Clustering Algorithms with L1-Norm and Cov... |
ACIVS
2006
Springer
15 years 4 months ago
2006
Springer
In fuzzy clustering, the fuzzy c-means (FCM) algorithm is the best known and most used method. Although FCM is a very useful method, it is sensitive to noise and outliers so that W...
ICML
2006
IEEE
15 years 11 months ago
2006
IEEE
Principal component analysis (PCA) minimizes the sum of squared errors (L2-norm) and is sensitive to the presence of outliers. We propose a rotational invariant L1-norm PCA (R1-PC...
NN
1998
Springer
14 years 10 months ago
1998
Springer
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...